| Metric Learning to Accelerate Convergence of Operator Splitting Methods for Differentiable Parametric Programming E King, J Kotary, F Fioretto, J Drgona arXiv preprint arXiv:2404.00882, 2024 | 1 | 2024 |
| Finding ε and δ of Traditional Disclosure Control Systems S Das, K Zhu, C Task, P Van Hentenryck, F Fioretto Proceedings of the AAAI Conference on Artificial Intelligence 38 (20), 22013 …, 2024 | | 2024 |
| Learning Constrained Optimization with Deep Augmented Lagrangian Methods J Kotary, F Fioretto arXiv preprint arXiv:2403.03454, 2024 | | 2024 |
| End-to-End Learning for Fair Multiobjective Optimization Under Uncertainty MH Dinh, J Kotary, F Fioretto Uncertainty in Artificial Intelligence (UAI), 2024 | | 2024 |
| Learning Fair Ranking Policies via Differentiable Optimization of Ordered Weighted Averages MH Dinh, J Kotary, F Fioretto ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT), 2024 | | 2024 |
| Disparate Impact on Group Accuracy of Linearization for Private Inference S Das, M Romanelli, F Fioretto arXiv preprint arXiv:2402.03629, 2024 | | 2024 |
| Projected Generative Diffusion Models for Constraint Satisfaction JK Christopher, S Baek, F Fioretto arXiv preprint arXiv:2402.03559, 2024 | | 2024 |
| Finding∈ and δ of Statistical Disclosure Control Systems S Das, K Zhu, P Van Hentenryck, C Task, F Fioretto AAAI, 2024 | | 2024 |
| Data Minimization at Inference Time C Tran, F Fioretto Advances in Neural Information Processing Systems (NeurIPS) 36, 2024 | 2* | 2024 |
| Fairness Increases Adversarial Vulnerability C Tran, K Zhu, F Fioretto, P Van Henternyck International Joint Conference on Artificial Intelligence (IJCAI), 2024 | 4 | 2024 |
| Analyzing and Enhancing the Backward-Pass Convergence of Unrolled Optimization J Kotary, J Christopher, MH Dinh, F Fioretto arXiv preprint arXiv:2312.17394, 2023 | | 2023 |
| On The Fairness Impacts of Hardware Selection in Machine Learning SH Nelaturu, NK Ravichandran, C Tran, S Hooker, F Fioretto arXiv preprint arXiv:2312.03886, 2023 | | 2023 |
| Predict-Then-Optimize by Proxy: Learning Joint Models of Prediction and Optimization J Kotary, V Di Vito, J Christopher, P Van Hentenryck, F Fioretto arXiv preprint arXiv:2311.13087, 2023 | 1 | 2023 |
| An Analysis of the Reliability of AC Optimal Power Flow Deep Learning Proxies MH Dinh, F Fioretto, M Mohammadian, K Baker 2023 IEEE PES ISGT-LA, 170-174, 2023 | | 2023 |
| Gradient-enhanced physics-informed neural networks for power systems operational support M Mohammadian, K Baker, F Fioretto Electric Power Systems Research 223, 109551, 2023 | 10 | 2023 |
| Price-Aware Deep Learning for Electricity Markets V Dvorkin, F Fioretto NeurIPS-23 - Workshop of Climate Change AI, 2023 | 2 | 2023 |
| Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities J Mandi, J Kotary, S Berden, M Mulamba, V Bucarey, T Guns, F Fioretto arXiv, 2023 | 12 | 2023 |
| Algorithmic Fairness through the Lens of Causality and Privacy (AFCP) 2022 A Dieng, M Rateike, G Farnadi, F Fioretto, M Kusner, J Schrouff Workshop on Algorithmic Fairness through the Lens of Causality and Privacy, 1-6, 2023 | | 2023 |
| FairDP: Certified Fairness with Differential Privacy K Tran, F Fioretto, I Khalil, MT Thai, NH Phan arXiv, 2023 | | 2023 |
| Context-Aware Differential Privacy for Language Modeling MH Dinh, F Fioretto arXiv, 2023 | | 2023 |
